Approximation of dynamic system vector field using neural networks in approximate aircraft attainability domain construction problem

Science and Education of the Bauman MSTU ◽

10.7463/0811.0204143 ◽

2015 ◽

Author(s):

Karpenko ◽

Morozov ◽

Fedin

Keyword(s):

Neural Networks ◽

Vector Field ◽

Dynamic System ◽

Construction Problem ◽

Attainability Domain

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Dynamic system attainability domain boundaries construction via composition of multiple integration and vector field approximation approaches

Science and Education of the Bauman MSTU ◽

10.7463/0511.0185335 ◽

2015 ◽

Author(s):

Kulesh ◽

Karpenko ◽

Fedin

Keyword(s):

Vector Field ◽

Dynamic System ◽

Field Approximation ◽

Multiple Integration ◽

Domain Boundaries ◽

Attainability Domain

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Chebyschev functional link artificial neural networks for nonlinear dynamic system identification

SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166) ◽

10.1109/icsmc.2000.884395 ◽

2002 ◽

Author(s):

J.C. Patra ◽

A.C. Kot ◽

Yan Qiu Chen

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

System Identification ◽

Dynamic System ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic System ◽

Functional Link ◽

Artificial Neural

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Neural networks for nonlinear dynamic system modelling and identification

International Journal of Control ◽

10.1080/00207179208934317 ◽

1992 ◽

Vol 56 (2) ◽

pp. 319-346 ◽

Author(s):

S. CHEN ◽

S. A. BILLINGS

Keyword(s):

Neural Networks ◽

Dynamic System ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic System ◽

System Modelling

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Neural networks for modelling and control of a non-linear dynamic system

Proceedings of the 1992 IEEE International Symposium on Intelligent Control ◽

10.1109/isic.1992.225125 ◽

2003 ◽

Author(s):

R. Murray-Smith ◽

D. Neumerkel ◽

D. Sbarbaro-Hofer

Keyword(s):

Neural Networks ◽

Dynamic System ◽

Linear Dynamic System ◽

Linear Dynamic ◽

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Design of Engine-Out Virtual NOx Sensor Using Neural Networks and Dynamic System Identification

SAE International Journal of Engines ◽

10.4271/2011-01-0694 ◽

2011 ◽

Vol 4 (1) ◽

pp. 837-849 ◽

Author(s):

Yue-Yun Wang ◽

Yongsheng He ◽

Sai Rajagopalan

Keyword(s):

Neural Networks ◽

System Identification ◽

Dynamic System ◽

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New method of dynamic system identification and neural networks learning

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)56246-1 ◽

1999 ◽

Vol 32 (2) ◽

pp. 1451-1456

Author(s):

Ping-Yuan Cui ◽

You-An Zhang ◽

Masayuki Suzuki

Keyword(s):

Neural Networks ◽

System Identification ◽

Dynamic System ◽

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Training recurrent neural networks for dynamic system identification using parallel tabu search algorithm

Proceedings of 12th IEEE International Symposium on Intelligent Control ◽

10.1109/isic.1997.626424 ◽

2002 ◽

Author(s):

D. Karaboga ◽

A. Kalinli

Keyword(s):

Neural Networks ◽

System Identification ◽

Tabu Search ◽

Dynamic System ◽

Recurrent Neural Networks ◽

Search Algorithm ◽

Tabu Search Algorithm ◽

Parallel Tabu Search

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Dynamic system simulation model and algorithm based on artificial neural networks

2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA) ◽

10.1109/msna.2012.6324622 ◽

2012 ◽

Author(s):

Xiujian Lv ◽

Yongsheng Jia ◽

Mingyuan Liu

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Dynamic System ◽

Simulation Model ◽

System Simulation ◽

Artificial Neural

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Interactive Dynamic-system Simulation in Classroom and Lab: Neural Networks, DOS, OS/2 and UNDC

European Journal of Engineering Education ◽

10.1080/03043799408923270 ◽

1994 ◽

Vol 19 (1) ◽

pp. 41-49

Author(s):

GRANINO A. KORN

Keyword(s):

Neural Networks ◽

Dynamic System ◽

System Simulation ◽

Interactive Dynamic

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Moving face recognition through dynamic vector field neural networks

1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335) ◽

10.1109/icips.1997.669243 ◽

2002 ◽

Author(s):

Zhizhai Hu ◽

Ming Zhang

Keyword(s):

Neural Networks ◽

Face Recognition ◽

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